We were submitted a problem concerning the innovative process in European software industry. The economical research have been interpreted by using a conditional independent graph (CIG). Some alternative association structures have been tested with GLIM by means of a discrete symmetric interaction model, obtaining a fina CIG. The obtained results have been controlled with MIM by introducing a continuous random variable.

Symmetric interaction models to study innovation procecesses in the software industry

CAROTA, Cinzia
1992-01-01

Abstract

We were submitted a problem concerning the innovative process in European software industry. The economical research have been interpreted by using a conditional independent graph (CIG). Some alternative association structures have been tested with GLIM by means of a discrete symmetric interaction model, obtaining a fina CIG. The obtained results have been controlled with MIM by introducing a continuous random variable.
1992
GLIM92 Conference and the 7th International Workshop on Statistical Modelling
Munich
13-17 July
Lecture Notes in Statistics - Advances in GLIM and Statistical Modelling
Springer-Verlag
1
107
112
9780387978734
http://www.springer.com/mathematics/probability/book/978-0-387-97873-4
Conditional independence graphs; Symmetric interactions models; Mixed models
P. Giudici; C. Carota
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/56278
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